Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis
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Beschreibung
This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics. The approach to TBIR is based on creating a thesaurus, as well as event classification and detection. N-gram thesaurus generation for query refinement offers a new method for improving the precision of retrieval, while event classification and detection approaches aid in the classification and organization of information using web documents for domain-specific retrieval applications. In turn, with regard to content based image retrieval (CBIR) the book presents a histogram construction method, which is based on human visual perceptions of color. The book’s overarching goal is to introduce readers to new ideas in an easy-to-follow manner.
This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics. The approach to TBIR is based on creating a thesaurus, as well as event classification and detection. N-gram thesaurus generation for query refinement offers a new method for improving the precision of retrieval, while event classification and detection approaches aid in the classification and organization of information using web documents for domain-specific retrieval applications. In turn, with regard to content based image retrieval (CBIR) the book presents a histogram construction method, which is based on human visual perceptions of color. The book’s overarching goal is to introduce readers to new ideas in an easy-to-follow manner.
Covers essential techniques in Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR) Describes a deep web crawler specification with indexer to improve coverage rate and retrieval performance Shows that the n-gram thesaurus is a central component of any retrieval system Includes a mathematical approach to query refinement, along with prediction for retrieval applications Is supported by experimental results and analysis useful for the research community
Autor*in
S.G. Shaila
Themen in »Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis«
Information retrieval Web crawler Indexing encoding and distance measure Query expansion Event patterns